Fish spawning ground substrate microflow field preference identification method, device, equipment and medium

By constructing a microfluidic model of the substrate micro-flow field of fish spawning grounds and analyzing image data, the problem of identifying fish preferred spawning grounds has been solved, and accurate quantitative identification of fish preferred areas has been achieved, providing reliable technical support for habitat protection.

CN122391838APending Publication Date: 2026-07-14CHINA THREE GORGES CORPORATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA THREE GORGES CORPORATION
Filing Date
2026-06-15
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify the substrate-microfluidic field characteristics of fish spawning grounds, thus limiting efforts to protect fish reproduction.

Method used

By constructing a hydrodynamic model of the bottom microfluidic field of the spawning ground, combining image data to calculate fish behavior activity indicators, simulating and calculating the characteristic parameters of the bottom microfluidic field, establishing quantitative correlations, and identifying the characteristic range of the bottom microfluidic field of the spawning ground preferred by fish.

Benefits of technology

It enables precise identification of fish spawning ground preferences, provides scientific basis and technical support, offers clear quantitative parameters for habitat protection and restoration, and improves the scientific nature and accuracy of identification.

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Abstract

The present application relates to the technical field of fish ecology, and discloses a fish preferred spawning ground substrate micro-flow field identification method, device, equipment and medium, the present application constructs the hydrodynamic model of the spawning ground substrate micro-flow field, and utilizes the model to simulate and calculate the target space position of the fish preferred activity, to obtain the substrate micro-flow field characteristic parameter at the position, effectively solves the technical bottleneck that the near-bottom micro-flow field parameter in the fish active dense area is difficult to directly measure through the traditional monitoring means; meanwhile, by correlating the behavior active index calculated based on the image data with the micro-flow field characteristic parameter obtained through simulation, the quantitative correlation of the fish behavior preference and the substrate micro-flow field characteristics is realized, and the preferred spawning ground substrate micro-flow field characteristic range of the fish can be accurately identified.
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